SOTAVerified

Segmentation

Papers

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Showing 8801–8825 of 13072 papers

TitleStatusHype
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics—0
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images—0
Robust 3D U-Net Segmentation of Macular Holes—0
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning—0
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models—0
A Novel Adaptive Deep Network for Building Footprint SegmentationCode0
Automatic evaluation of human oocyte developmental potential from microscopy images—0
Convolution-Free Medical Image Segmentation using Transformers—0
Recursive Training for Zero-Shot Semantic Segmentation—0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations—0
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing—0
Binary segmentation of medical images using implicit spline representations and deep learningCode0
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation—0
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation—0
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting—0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
STEP: Segmenting and Tracking Every Pixel—0
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic SegmentationCode0
Post-hoc Overall Survival Time Prediction from Brain MRICode0
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences—0
Direct Estimation of Appearance Models for Segmentation—0
Contour Loss for Instance Segmentation via k-step Distance Transformation Image—0
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images—0
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches—0
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified